Machine learning approach for ambient-light-corrected parameters and the Pupil Reactivity (PuRe) score in smartphone-based pupillometry

Machine learning approach for ambient-light-corrected parameters and the Pupil Reactivity (PuRe) score in smartphone-based pupillometry

IntroductionThe pupillary light reflex (PLR) is the constriction of the pupil in response to light. The PLR in response to a pulse of light follows a complex waveform that can be characterized by several parameters. It is a sensitive marker of acute neurological deterioration, but is also sensitive...

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Détails bibliographiques
Auteurs principaux: Aleksander Bogucki, Ivo John, Łukasz Zinkiewicz, Michał Jachura, Damian Jaworski, Karolina Suwała, Hugo Chrost, Michal Wlodarski, Jakub Kałużny, Doug Campbell, Paul Bakken, Shawna Pandya, Radosław Chrapkiewicz, Sanjay G. Manohar
Format: Article
Langue:English
Publié: Frontiers Media S.A. 2024-04-01
Collection:Frontiers in Neurology
Sujets:
pupillary light reflex (PLR)
Pupil Reactivity
Pupil Reactivity (PuRe) score
neurocritical care
pupillometry
critical care
Accès en ligne:https://www.frontiersin.org/articles/10.3389/fneur.2024.1363190/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2024.1363190/full

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